{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'base': 'stations',\n",
       " 'clouds': {'all': 0},\n",
       " 'cod': 200,\n",
       " 'coord': {'lat': 44.84, 'lon': 11.62},\n",
       " 'dt': 1526021700,\n",
       " 'id': 3177090,\n",
       " 'main': {'humidity': 82,\n",
       "  'pressure': 1014,\n",
       "  'temp': 291.54,\n",
       "  'temp_max': 292.15,\n",
       "  'temp_min': 291.15},\n",
       " 'name': 'Ferrara',\n",
       " 'sys': {'country': 'IT',\n",
       "  'id': 5816,\n",
       "  'message': 0.0048,\n",
       "  'sunrise': 1526010575,\n",
       "  'sunset': 1526063456,\n",
       "  'type': 1},\n",
       " 'visibility': 8000,\n",
       " 'weather': [{'description': 'clear sky',\n",
       "   'icon': '01d',\n",
       "   'id': 800,\n",
       "   'main': 'Clear'}],\n",
       " 'wind': {'deg': 280, 'speed': 2.1}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "import requests\n",
    "ferrara = json.loads(requests.get('http://api.openweathermap.org/data/2.5/weather?q=Ferrara,IT&appid=5807ad2a45eb6bf4e81d137dafe74e15').text)\n",
    "ferrara"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['coord',\n",
       " 'weather',\n",
       " 'base',\n",
       " 'main',\n",
       " 'visibility',\n",
       " 'wind',\n",
       " 'clouds',\n",
       " 'dt',\n",
       " 'sys',\n",
       " 'id',\n",
       " 'name',\n",
       " 'cod']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(ferrara.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coordinates =  {'lon': 11.62, 'lat': 44.84}\n",
      "Weather =  [{'id': 802, 'main': 'Clouds', 'description': 'scattered clouds', 'icon': '03d'}]\n",
      "base =  stations\n",
      "main =  {'temp': 296.59, 'pressure': 1010, 'humidity': 64, 'temp_min': 296.15, 'temp_max': 297.15}\n",
      "visibility =  10000\n",
      "wind =  {'speed': 3.1, 'deg': 240}\n",
      "clouds =  {'all': 40}\n",
      "dt =  1525960500\n",
      "sys =  {'type': 1, 'id': 5816, 'message': 0.0029, 'country': 'IT', 'sunrise': 1525924227, 'sunset': 1525977006}\n",
      "id =  3177090\n",
      "name =  Ferrara\n",
      "cod =  200\n"
     ]
    }
   ],
   "source": [
    "print('Coordinates = ', ferrara['coord'])\n",
    "print('Weather = ', ferrara['weather'])\n",
    "print('base = ', ferrara['base'])\n",
    "print('main = ', ferrara['main'])\n",
    "print('visibility = ', ferrara['visibility'])\n",
    "print('wind = ', ferrara['wind'])\n",
    "print('clouds = ', ferrara['clouds'])\n",
    "print('dt = ', ferrara['dt'])\n",
    "print('sys = ', ferrara['sys'])\n",
    "print('id = ', ferrara['id'])\n",
    "print('name = ', ferrara['name'])\n",
    "print('cod = ', ferrara['cod'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "296.58"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ferrara['main']['temp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#http://it.thetimenow.com/distance-calculator.php\n",
    "#(Comacchio)\n",
    "#ravenna['dist'] = 8\n",
    "#cesena['dist'] = 14\n",
    "#faenza['dist'] = 37\n",
    "#ferrara_dist = 47\n",
    "#bologna['dist'] = 71\n",
    "#mantova['dist'] = 121 \n",
    "#piacenza['dist'] = 200\n",
    "#milano['dist'] = 250\n",
    "#asti['dist'] = 315\n",
    "#torino['dist'] = 357\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def prepare(city,city_name):\n",
    "    temp = [ ]\n",
    "    humidity = [ ]\n",
    "    pressure = [ ]\n",
    "    description = [ ]\n",
    "    dt = [ ]\n",
    "    wind_speed = [ ]\n",
    "    wind_deg = [ ]\n",
    "    temp.append(city['main']['temp']-273.15)\n",
    "    humidity.append(city['main']['humidity'])\n",
    "    pressure.append(city['main']['pressure'])\n",
    "    description.append(city['weather'][0]['description'])\n",
    "    dt.append(city['dt'])\n",
    "    wind_speed.append(city['wind']['speed'])\n",
    "    wind_deg.append(city['wind']['deg'])\n",
    "    headings = ['temp','humidity','pressure','description','dt','wind_speed','wind_deg']\n",
    "    data = [temp,humidity,pressure,description,dt,wind_speed,wind_deg]\n",
    "    df = pd.DataFrame(data,index=headings)\n",
    "    city = df.T\n",
    "    city['city'] = city_name\n",
    "    city['day'] = city['dt'].apply(datetime.datetime.fromtimestamp)\n",
    "    return city\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>pressure</th>\n",
       "      <th>description</th>\n",
       "      <th>dt</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>city</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.39</td>\n",
       "      <td>82</td>\n",
       "      <td>1014</td>\n",
       "      <td>clear sky</td>\n",
       "      <td>1526021700</td>\n",
       "      <td>2.1</td>\n",
       "      <td>280</td>\n",
       "      <td>ferrara</td>\n",
       "      <td>2018-05-11 08:55:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    temp humidity pressure description          dt wind_speed wind_deg  \\\n",
       "0  18.39       82     1014   clear sky  1526021700        2.1      280   \n",
       "\n",
       "      city                 day  \n",
       "0  ferrara 2018-05-11 08:55:00  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1 = prepare(ferrara,'ferrara')\n",
    "t1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>pressure</th>\n",
       "      <th>description</th>\n",
       "      <th>dt</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>city</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.39</td>\n",
       "      <td>82</td>\n",
       "      <td>1014</td>\n",
       "      <td>clear sky</td>\n",
       "      <td>1526021700</td>\n",
       "      <td>2.1</td>\n",
       "      <td>280</td>\n",
       "      <td>ferrara</td>\n",
       "      <td>2018-05-11 08:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.39</td>\n",
       "      <td>82</td>\n",
       "      <td>1014</td>\n",
       "      <td>clear sky</td>\n",
       "      <td>1526021700</td>\n",
       "      <td>2.1</td>\n",
       "      <td>280</td>\n",
       "      <td>ferrara</td>\n",
       "      <td>2018-05-11 08:55:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    temp humidity pressure description          dt wind_speed wind_deg  \\\n",
       "0  18.39       82     1014   clear sky  1526021700        2.1      280   \n",
       "0  18.39       82     1014   clear sky  1526021700        2.1      280   \n",
       "\n",
       "      city                 day  \n",
       "0  ferrara 2018-05-11 08:55:00  \n",
       "0  ferrara 2018-05-11 08:55:00  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ferrara = t1\n",
    "t2 = prepare(ferrara,'ferrara')\n",
    "df_ferrara = df_ferrara.append(t2)\n",
    "df_ferrara"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Start Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_ferrara = pd.read_csv('ferrara_270615.csv')\n",
    "df_milano = pd.read_csv('milano_270615.csv')\n",
    "df_mantova = pd.read_csv('mantova_270615.csv')\n",
    "df_ravenna = pd.read_csv('ravenna_270615.csv')\n",
    "df_torino = pd.read_csv('torino_270615.csv')\n",
    "df_asti = pd.read_csv('asti_270615.csv')\n",
    "df_bologna = pd.read_csv('bologna_270615.csv')\n",
    "df_piacenza = pd.read_csv('piacenza_270615.csv')\n",
    "df_cesena = pd.read_csv('cesena_270615.csv')\n",
    "df_faenza = pd.read_csv('faenza_270615.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>temp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>pressure</th>\n",
       "      <th>description</th>\n",
       "      <th>dt</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>city</th>\n",
       "      <th>day</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>23.34</td>\n",
       "      <td>82</td>\n",
       "      <td>1017</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435387623</td>\n",
       "      <td>1.91</td>\n",
       "      <td>175.511</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 08:47:03</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>24.95</td>\n",
       "      <td>69</td>\n",
       "      <td>1018</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435390801</td>\n",
       "      <td>2.01</td>\n",
       "      <td>159.500</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 09:40:01</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>25.67</td>\n",
       "      <td>73</td>\n",
       "      <td>1017</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435394204</td>\n",
       "      <td>2.10</td>\n",
       "      <td>100.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 10:36:44</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>26.17</td>\n",
       "      <td>69</td>\n",
       "      <td>1017</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435398652</td>\n",
       "      <td>3.10</td>\n",
       "      <td>120.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 11:50:52</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>27.07</td>\n",
       "      <td>61</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435402083</td>\n",
       "      <td>3.10</td>\n",
       "      <td>110.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 12:48:03</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>27.41</td>\n",
       "      <td>69</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435405721</td>\n",
       "      <td>3.60</td>\n",
       "      <td>110.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 13:48:41</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>27.38</td>\n",
       "      <td>65</td>\n",
       "      <td>1015</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435409381</td>\n",
       "      <td>5.70</td>\n",
       "      <td>110.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 14:49:41</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>26.59</td>\n",
       "      <td>65</td>\n",
       "      <td>1014</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435416585</td>\n",
       "      <td>5.10</td>\n",
       "      <td>110.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 16:49:45</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>27.16</td>\n",
       "      <td>65</td>\n",
       "      <td>1014</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435420195</td>\n",
       "      <td>6.20</td>\n",
       "      <td>120.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 17:49:55</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>27.10</td>\n",
       "      <td>65</td>\n",
       "      <td>1014</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435423927</td>\n",
       "      <td>6.70</td>\n",
       "      <td>120.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 18:52:07</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>26.01</td>\n",
       "      <td>73</td>\n",
       "      <td>1013</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435427556</td>\n",
       "      <td>6.20</td>\n",
       "      <td>120.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 19:52:36</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>23.37</td>\n",
       "      <td>94</td>\n",
       "      <td>1015</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435438070</td>\n",
       "      <td>2.60</td>\n",
       "      <td>90.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 22:47:50</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>22.48</td>\n",
       "      <td>83</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435441857</td>\n",
       "      <td>5.70</td>\n",
       "      <td>90.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-27 23:50:57</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>21.94</td>\n",
       "      <td>83</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435445495</td>\n",
       "      <td>2.10</td>\n",
       "      <td>210.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 00:51:35</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>20.26</td>\n",
       "      <td>94</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435452847</td>\n",
       "      <td>2.01</td>\n",
       "      <td>107.004</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 02:54:07</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>19.65</td>\n",
       "      <td>93</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435456185</td>\n",
       "      <td>2.10</td>\n",
       "      <td>330.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 03:49:45</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>19.29</td>\n",
       "      <td>93</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435459689</td>\n",
       "      <td>1.50</td>\n",
       "      <td>320.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 04:48:09</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>18.41</td>\n",
       "      <td>93</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435463462</td>\n",
       "      <td>0.50</td>\n",
       "      <td>300.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 05:51:02</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>19.48</td>\n",
       "      <td>88</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435466850</td>\n",
       "      <td>0.50</td>\n",
       "      <td>270.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 06:47:30</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>22.00</td>\n",
       "      <td>88</td>\n",
       "      <td>1016</td>\n",
       "      <td>very heavy rain</td>\n",
       "      <td>1435470541</td>\n",
       "      <td>2.10</td>\n",
       "      <td>260.000</td>\n",
       "      <td>Cesena</td>\n",
       "      <td>2015-06-28 07:49:01</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0   temp  humidity  pressure      description          dt  \\\n",
       "0            0  23.34        82      1017  very heavy rain  1435387623   \n",
       "1            1  24.95        69      1018  very heavy rain  1435390801   \n",
       "2            2  25.67        73      1017  very heavy rain  1435394204   \n",
       "3            3  26.17        69      1017  very heavy rain  1435398652   \n",
       "4            4  27.07        61      1016  very heavy rain  1435402083   \n",
       "5            5  27.41        69      1016  very heavy rain  1435405721   \n",
       "6            6  27.38        65      1015  very heavy rain  1435409381   \n",
       "7            7  26.59        65      1014  very heavy rain  1435416585   \n",
       "8            8  27.16        65      1014  very heavy rain  1435420195   \n",
       "9            9  27.10        65      1014  very heavy rain  1435423927   \n",
       "10          10  26.01        73      1013  very heavy rain  1435427556   \n",
       "11          11  23.37        94      1015  very heavy rain  1435438070   \n",
       "12          12  22.48        83      1016  very heavy rain  1435441857   \n",
       "13          13  21.94        83      1016  very heavy rain  1435445495   \n",
       "14          14  20.26        94      1016  very heavy rain  1435452847   \n",
       "15          15  19.65        93      1016  very heavy rain  1435456185   \n",
       "16          16  19.29        93      1016  very heavy rain  1435459689   \n",
       "17          17  18.41        93      1016  very heavy rain  1435463462   \n",
       "18          18  19.48        88      1016  very heavy rain  1435466850   \n",
       "19          19  22.00        88      1016  very heavy rain  1435470541   \n",
       "\n",
       "    wind_speed  wind_deg    city                  day  dist  \n",
       "0         1.91   175.511  Cesena  2015-06-27 08:47:03    14  \n",
       "1         2.01   159.500  Cesena  2015-06-27 09:40:01    14  \n",
       "2         2.10   100.000  Cesena  2015-06-27 10:36:44    14  \n",
       "3         3.10   120.000  Cesena  2015-06-27 11:50:52    14  \n",
       "4         3.10   110.000  Cesena  2015-06-27 12:48:03    14  \n",
       "5         3.60   110.000  Cesena  2015-06-27 13:48:41    14  \n",
       "6         5.70   110.000  Cesena  2015-06-27 14:49:41    14  \n",
       "7         5.10   110.000  Cesena  2015-06-27 16:49:45    14  \n",
       "8         6.20   120.000  Cesena  2015-06-27 17:49:55    14  \n",
       "9         6.70   120.000  Cesena  2015-06-27 18:52:07    14  \n",
       "10        6.20   120.000  Cesena  2015-06-27 19:52:36    14  \n",
       "11        2.60    90.000  Cesena  2015-06-27 22:47:50    14  \n",
       "12        5.70    90.000  Cesena  2015-06-27 23:50:57    14  \n",
       "13        2.10   210.000  Cesena  2015-06-28 00:51:35    14  \n",
       "14        2.01   107.004  Cesena  2015-06-28 02:54:07    14  \n",
       "15        2.10   330.000  Cesena  2015-06-28 03:49:45    14  \n",
       "16        1.50   320.000  Cesena  2015-06-28 04:48:09    14  \n",
       "17        0.50   300.000  Cesena  2015-06-28 05:51:02    14  \n",
       "18        0.50   270.000  Cesena  2015-06-28 06:47:30    14  \n",
       "19        2.10   260.000  Cesena  2015-06-28 07:49:01    14  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cesena"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dist = [df_ravenna['dist'][0],\n",
    "     df_cesena['dist'][0],\n",
    "     df_faenza['dist'][0],\n",
    "     df_ferrara['dist'][0],\n",
    "     df_bologna['dist'][0],\n",
    "     df_mantova['dist'][0],\n",
    "     df_piacenza['dist'][0],\n",
    "     df_milano['dist'][0],\n",
    "     df_asti['dist'][0],\n",
    "     df_torino['dist'][0]\n",
    "]\n",
    "temp_max = [df_ravenna['temp'].max(),\n",
    "     df_cesena['temp'].max(),\n",
    "     df_faenza['temp'].max(),\n",
    "     df_ferrara['temp'].max(),\n",
    "     df_bologna['temp'].max(),\n",
    "     df_mantova['temp'].max(),\n",
    "     df_piacenza['temp'].max(),\n",
    "     df_milano['temp'].max(),\n",
    "     df_asti['temp'].max(),\n",
    "     df_torino['temp'].max()\n",
    "]\n",
    "temp_min = [df_ravenna['temp'].min(),\n",
    "     df_cesena['temp'].min(),\n",
    "     df_faenza['temp'].min(),\n",
    "     df_ferrara['temp'].min(),\n",
    "     df_bologna['temp'].min(),\n",
    "     df_mantova['temp'].min(),\n",
    "     df_piacenza['temp'].min(),\n",
    "     df_milano['temp'].min(),\n",
    "     df_asti['temp'].min(),\n",
    "     df_torino['temp'].min()\n",
    "]\n",
    "hum_min = [df_ravenna['humidity'].min(),\n",
    "     df_cesena['humidity'].min(),\n",
    "     df_faenza['humidity'].min(),\n",
    "     df_ferrara['humidity'].min(),\n",
    "     df_bologna['humidity'].min(),\n",
    "     df_mantova['humidity'].min(),\n",
    "     df_piacenza['humidity'].min(),\n",
    "     df_milano['humidity'].min(),\n",
    "     df_asti['humidity'].min(),\n",
    "     df_torino['humidity'].min()\n",
    "]\n",
    "hum_max = [df_ravenna['humidity'].max(),\n",
    "     df_cesena['humidity'].max(),\n",
    "     df_faenza['humidity'].max(),\n",
    "     df_ferrara['humidity'].max(),\n",
    "     df_bologna['humidity'].max(),\n",
    "     df_mantova['humidity'].max(),\n",
    "     df_piacenza['humidity'].max(),\n",
    "     df_milano['humidity'].max(),\n",
    "     df_asti['humidity'].max(),\n",
    "     df_torino['humidity'].max()\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db743bc358>]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jiLhF0tuBgYg4t0G/l0XEDkknAT8C3hgRj072XC0vtt7XV4T9RIsWwdat5R/HzKxLtX2x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\nZmaZ+X8y38VcancPEwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db72d01e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#temperatura massima\n",
    "plt.plot(dist,temp_max,'ro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = np.array(dist)\n",
    "y = np.array(temp_max)\n",
    "x1 = x[x<100]\n",
    "x1 = x1.reshape((x1.size,1))\n",
    "y1 = y[x<100]\n",
    "x2 = x[x>50]\n",
    "x2 = x2.reshape((x2.size,1))\n",
    "y2 = y[x>50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.svm import SVR\n",
    "svr_lin1 = SVR(kernel='linear', C=1e3)\n",
    "svr_lin2 = SVR(kernel='linear', C=1e3)\n",
    "svr_lin1.fit(x1, y1)\n",
    "svr_lin2.fit(x2, y2)\n",
    "xp1 = np.arange(10,100,10).reshape((9,1))\n",
    "xp2 = np.arange(50,400,50).reshape((7,1))\n",
    "yp1 = svr_lin1.predict(xp1)\n",
    "yp2 = svr_lin2.predict(xp2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1db75131908>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qltS8du3afOvvMpP/9m95b+JEmnv04DMHHQQPPQRPPgkjR5a7NDOzouUVBhGxMyJGA0NJ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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db743d9cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(xp1, yp1, c='r', label='Strong sea effect')\n",
    "plt.plot(xp2, yp2, c='b', label='Light sea effect')\n",
    "plt.axis((0,400,20,40))\n",
    "plt.scatter(x, y, c='k', label='data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.04794118]]\n",
      "[ 27.65617647]\n",
      "[[ 0.00317797]]\n",
      "[ 30.2854661]\n"
     ]
    }
   ],
   "source": [
    "print( svr_lin1.coef_)\n",
    "print( svr_lin1.intercept_)\n",
    "print( svr_lin2.coef_)\n",
    "print( svr_lin2.intercept_)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[x,y] = [ 58 , 30 ]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7cad9f28>,\n",
       " <matplotlib.lines.Line2D at 0x1db7cae4128>,\n",
       " <matplotlib.lines.Line2D at 0x1db7cae4940>]"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+zDkdm/DkVb1JbBLj67JEJEi4tYZujAkF1gBJwIvAFiDXWnvicrxdQCuvVBgE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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b9ad908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.optimize import fsolve\n",
    "\n",
    "def line1(x):\n",
    "    a1 = svr_lin1.coef_[0][0]\n",
    "    b1 = svr_lin1.intercept_[0]\n",
    "    return a1*x + b1\n",
    "def line2(x):\n",
    "    a2 = svr_lin2.coef_[0][0]\n",
    "    b2 = svr_lin2.intercept_[0]\n",
    "    return a2*x + b2\n",
    "def findIntersection(fun1,fun2,x0):\n",
    " return fsolve(lambda x : fun1(x) - fun2(x),x0)\n",
    "\n",
    "result = findIntersection(line1,line2,0.0)\n",
    "print(\"[x,y] = [ %d , %d ]\" % (result,line1(result)))\n",
    "x = np.linspace(0,300,31)\n",
    "plt.plot(x,line1(x),x,line2(x),result,line1(result),'ro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7538ffd0>]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7538f198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#temperatures min\n",
    "plt.axis((0,400,15,25))\n",
    "plt.plot(dist,temp_min,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db754ec668>]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7538ff98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#min humidity\n",
    "plt.plot(dist,hum_min,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db75554080>]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7538f048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#max humidity\n",
    "plt.plot(dist,hum_max,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db76e7bc88>]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ssQbstlsk53ktdZw2LXrku+0W5XuHDYMTT4RG6dKqErqIiFksK7z7bvj4Y/jL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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7896d7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.dates as mtd\n",
    "#temperature\n",
    "y1 = df_milano['temp']\n",
    "x1 = df_milano['day']\n",
    "ts = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x1]\n",
    "x = mtd.date2num(ts)\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H:%M'))\n",
    "ax.plot(x,y1,'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db78558940>]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ul06doi1A//5Ro7733k3/HsOGwcorR+94kRKihC7F56CD4M474fzz47/mOOkk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\n+QJFikyn9AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db770e0470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#humidity\n",
    "y1 = df_milano['humidity']\n",
    "x1 = df_milano['day']\n",
    "ts = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x1]\n",
    "x = mtd.date2num(ts)\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H:%M'))\n",
    "ax.plot(x,y1,'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db786f6f28>,\n",
       " <matplotlib.lines.Line2D at 0x1db786f77f0>,\n",
       " <matplotlib.lines.Line2D at 0x1db7888b710>]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Z3q1MN05dP8XUvVNdU1elIinCAd0YkwiYC7QXkWtAAJAcKAF8DMw25r+raUTk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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db79c15550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y1 = df_ravenna['temp']\n",
    "x1 = df_ravenna['day']\n",
    "y2 = df_ferrara['temp']\n",
    "x2 = df_ferrara['day']\n",
    "y3 = df_milano['temp']\n",
    "x3 = df_milano['day']\n",
    "ts1 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x1]\n",
    "x1 = mtd.date2num(ts1)\n",
    "ts2 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x2]\n",
    "x2 = mtd.date2num(ts2)\n",
    "ts3 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x3]\n",
    "x3 = mtd.date2num(ts3)\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H:%M'))\n",
    "plt.plot(x1,y1,'r',x2,y2,'b',x3,y3,'g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7a055ef0>,\n",
       " <matplotlib.lines.Line2D at 0x1db7881ee80>,\n",
       " <matplotlib.lines.Line2D at 0x1db78737c88>]"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hw26eq00bbVM3bpybB7Z4nMOHtaJiq1YJNgKNjdUFfOnS0Ly5l+1LRUTHRtP1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\n+B/CzGu6hh+WDgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db787039b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y1 = df_ravenna['humidity']\n",
    "x1 = df_ravenna['day']\n",
    "y2 = df_ferrara['humidity']\n",
    "x2 = df_ferrara['day']\n",
    "y3 = df_milano['humidity']\n",
    "x3 = df_milano['day']\n",
    "ts1 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x1]\n",
    "x1 = mtd.date2num(ts1)\n",
    "ts2 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x2]\n",
    "x2 = mtd.date2num(ts2)\n",
    "ts3 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x3]\n",
    "x3 = mtd.date2num(ts3)\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H:%M'))\n",
    "plt.plot(x1,y1,'r',x2,y2,'b',x3,y3,'g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db787d9940>,\n",
       " <matplotlib.lines.Line2D at 0x1db788026a0>,\n",
       " <matplotlib.lines.Line2D at 0x1db78802ac8>]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JWFoxFxQOV0xqKnPFDBmiuqCBUgm0acP++WvXBuztWfX4+/fZ7yVKAIMGAb/+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\nbGxmtMSs87O0l6XLDtMiyl+3/iLIQH/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TZCCHNQ7028XfRPHTRydFU7/9/QgyUPvt7elV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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db78799668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y1 = df_ravenna['humidity']\n",
    "x1 = df_ravenna['day']\n",
    "y2 = df_faenza['humidity']\n",
    "x2 = df_faenza['day']\n",
    "y3 = df_cesena['humidity']\n",
    "x3 = df_cesena['day']\n",
    "y4 = df_milano['humidity']\n",
    "x4 = df_milano['day']\n",
    "y5 = df_asti['humidity']\n",
    "x5 = df_asti['day']\n",
    "y6 = df_torino['humidity']\n",
    "x6 = df_torino['day']\n",
    "ts1 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x1]\n",
    "x1 = mtd.date2num(ts1)\n",
    "ts2 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x2]\n",
    "x2 = mtd.date2num(ts2)\n",
    "ts3 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x3]\n",
    "x3 = mtd.date2num(ts3)\n",
    "ts4 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x4]\n",
    "x4 = mtd.date2num(ts4)\n",
    "ts5 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x5]\n",
    "x5 = mtd.date2num(ts5)\n",
    "ts6 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x6]\n",
    "x6 = mtd.date2num(ts6)\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H:%M'))\n",
    "plt.plot(x1,y1,'r',x2,y2,'r',x3,y3,'r')\n",
    "plt.plot(x4,y4,'g',x5,y5,'g',x6,y6,'g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7a088320>,\n",
       " <matplotlib.lines.Line2D at 0x1db7a090828>,\n",
       " <matplotlib.lines.Line2D at 0x1db7a09a4a8>]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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U52HOr02L9zjgsTgPc5av//naIuNrNHFFK/bE4tw58XVNIal+sJGGC+pEX691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\nKwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db78802ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y1 = df_ravenna['temp']\n",
    "x1 = df_ravenna['day']\n",
    "y2 = df_faenza['temp']\n",
    "x2 = df_faenza['day']\n",
    "y3 = df_cesena['temp']\n",
    "x3 = df_cesena['day']\n",
    "y4 = df_milano['temp']\n",
    "x4 = df_milano['day']\n",
    "y5 = df_asti['temp']\n",
    "x5 = df_asti['day']\n",
    "y6 = df_torino['temp']\n",
    "x6 = df_torino['day']\n",
    "ts1 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x1]\n",
    "x1 = mtd.date2num(ts1)\n",
    "ts2 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x2]\n",
    "x2 = mtd.date2num(ts2)\n",
    "ts3 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x3]\n",
    "x3 = mtd.date2num(ts3)\n",
    "ts4 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x4]\n",
    "x4 = mtd.date2num(ts4)\n",
    "ts5 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x5]\n",
    "x5 = mtd.date2num(ts5)\n",
    "ts6 = [datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') for date in x6]\n",
    "x6 = mtd.date2num(ts6)\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d %H:%M'))\n",
    "plt.plot(x1,y1,'r',x2,y2,'r',x3,y3,'r')\n",
    "plt.plot(x4,y4,'g',x5,y5,'g',x6,y6,'g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7a0ede48>]"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+cW7X5vw+4OqIiDHFPVverYz1vdCWQn858P11609x9jdhExL4YkQ8EhH1/dK5NDOPQ/Uf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\nuiQVwkKXpEJY6JJUCAtdkgrx/1UYqR7y05RcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7a040cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hum_mean = [df_ravenna['humidity'].mean(),\n",
    "     df_cesena['humidity'].mean(),\n",
    "     df_faenza['humidity'].mean(),\n",
    "     df_ferrara['humidity'].mean(),\n",
    "     df_bologna['humidity'].mean(),\n",
    "     df_mantova['humidity'].mean(),\n",
    "     df_piacenza['humidity'].mean(),\n",
    "     df_milano['humidity'].mean(),\n",
    "     df_asti['humidity'].mean(),\n",
    "     df_torino['humidity'].mean()\n",
    "]\n",
    "plt.plot(dist,hum_mean,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7a0a6208>,\n",
       " <matplotlib.lines.Line2D at 0x1db7a1544e0>]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yy2CffXI3OPnllzYHwo03whdf2GD33nvnZiB+zhwrmfHUU/b/pptatNGIEQ04\nmfmCBbDYYnYDL7+8gQ6SA6ZMsXkezzsP2rQptDZOA5P3wd1cLkXZ4v/qK2vhXXJJTsX+8IPqHnuY\n6MrKBmqdpmDmTNWttjIdhg61lnNDMX++6hNPqO64o2rz5nbMXCw9eqiedpr1WPLGuuuqrr12Hg+Y\nJn/9pTpwoF2gk08utDZOHiDDFn/JlWXOGYkeSI7n2O3UyToQ225rheQGD7bG2ZFH5icG/L777Li/\n/27x+Ucc0bDHLS+HzTaz5aefLNkuW0Rg2WVzXJojDhUV1pqeP99KORQbF19s9UtWWcUKVo0cabXD\nHSeZTN4WuV6KssV/6qkWkvPbbw12iJkzza+eaHk3ZOv1hx9Ud9/djrX66qpTpzbcsUqWW2+1C/ju\nu4XW5J989JHFrW6/vcXWtm+vutlmFtfqlCzkO6qn5Kmutqn32rZtsEMsvTQ8+KD52idNsszY8eNz\nXxrhySdhwACrEz9mDLz2Gqy4Ym6P0SRIo0RzXlG1ynAtW8IVV1hW2ZgxduMfeKDQ2jlFiA/u1oaq\nxQNuvbVZ4jzw+eew774WHrnVVjB2bPYF5+bPhwsugKuvtnfYLbf4xN9ZsWABdOxoo+BXXFFobWoY\nPx72399qRxx4oK2bP9/8iD//DO+/36ANGKdwZDq4W4SOyiLgiy9g9uxaSzE3FL16wbPPmj0ZPTp3\nLXIRi7E/+2wrVeBkQXm5hSUVUyNl1iy7weuvb6FNCZo1gyuvtPXnngvnnFM4HZ2iww1/bUSmWswn\nZWU2mczw4VbmORcMGpT30yhtKiutC1UsA7xHHWXV9K677p+j9OutZ6VjEwO9K6xQGB2doqMIntwi\nZOJEC7BfddWCHL5PH1ucIqSiwhIJ3n/fBmUKycMP28DNWWdBv361f+fCC20g6YgjrHyoV5FzKJEZ\nuHJOdbWFxPmMGk4yie5TjKkYG5RffrGZfwYMsBoVdbH00jbQ+9RTVr/ccXDD/09Ua51j13EAi4tv\n377wfv6TToKvvrJa06nSlQ87zBoyRx9tCRxOk8cNfzIff2yREG74ndooK7NomUK2+F97zSrPHXEE\nrLFG6u8nBnq//NIHeR3ADf8/aaCMXaeEqKiwGYDmzcv/sefOtRlwevSwUK24rLeeFUsaO7bOKSSd\npoMb/mQSU0ytvHKhNXGKlcpKM8Dvv5//Y19wgR336qvN5ZQOF15o9bSPPLK0JlB20sYNfzLV1TZr\ndqHKZjrFT6EyeKdONVfNrrtazG+6LLWU9RKeegqqqnKvn9NocMMfZcEC8926m8epjz59oEOH/Pr5\nFy40F0+7dlZDO1MSEyj7QG8iIyvjAAAgAElEQVSTxg1/lA8/tB+DD+w69ZEY4M1ni//aa+HVV60C\n55JLZi4nMdA7Y0Z6YwROSeGGP0qBMnadRkhlpZVA/uuvhj/WV1/BqFGw8caWgZst66xjci6+2KeS\nbKK44Y8ycaIVs/LSlU4qKipsgHfKlIY9jqrF4c+fb63+XGXeXnCBzdB1xBE+0NsEccMfpbrauvB5\nn+HDaXTkK4O3qspKLpx5Jiy/fO7kJgZ6n3nG5rF0mhRu+BPMm2ex2e7mceKw/PI2B29D+vl//BEO\nP9wq7SUmR84lBx9sEWzHHAO//ZZ7+U7R4oY/wZQpVnzLI3qcOIiYu6chW/yjRsF331lZhoaoBOoD\nvU0WN/wJfGDXSZeKioYb4H3xRbj+emuNDx6ce/kJ1l7bZgC6+GLLE3CaBG74E1RXW9c9l35Up7Sp\nrDSj/957uZU7Z47F7C+3nPn2G5rzz7f8AB/obTK44U8wcaK14JIns3CcumioDN6zzoJp0+Caayzy\npqFZcklz9Tz7LNx7b8Mfzyk4buXAWljvvuv+fSc9llvO5uDNpZ//nXesps7IkTBsWO7kpuLgg20Q\n+dhjfaC3CeCGH8zoz5vn/n0nPRIDvLlq8S9YYPPmdupkPvd8Ul5uA71ffWU9Dqekydrwi0i5iEwW\nkUfC/71F5E0RmSYid4tIilki8syPP8JLL9lDfvDBlsW48ca2zVv8TrpUVlrDYe7c7GWNG2cux0sv\nhcUXz15euqy1Fuy3H/znPz7QW+LkIkbsKGAq0CH8fwFwiareJSLXAPsDV+fgOOkxd649vO++u+jy\n1Vc13+nUyWYm2ntvq1e+7LJ5V9Np5FRUWG9xxAgbIM2GJ5+ELbaA3XbLjW6ZcP75ljR2+OGW3OVz\n9JYkWRl+EekBDAfOAY4VEQE2AnYPX7kZOIOGNPwLF8L06f808B9+aF1nsKnp+veHDTe0CbJXWcWW\nbt38wXayY6ONLCTy66+zl7X66jagW8hnsksXOPdcm8/3nntgl10Kp4vTYIhmEb4lIvcB5wHtgeOA\nfYA3VLVP2L4M8LiqDqhPTmVlpVZn4ietqrJBsOhgVO/eNYY9sfTt6/X1HScuCxbAkCHWgOrQIfX3\nU7HWWvDAA14KpQEQkUmqmvbgZMYtfhHZCvhWVSeJyNDE6lq+WuubRUQOBA4E6NmzZ2ZK9O0L++xT\nY+AHDEh/ViLHcRalvNxa+1dcYcXhsuH77+Guu+CWWyxRzCkKMm7xi8h5wF7AfKAV5uOfAGwGLK2q\n80VkLeAMVd2sPlkZt/gdxyluVGHNNc0V9tFHNvWjkzMybfFnHNWjqieqag9V7QXsCjynqnsAzwM7\nhq+NBB7M9BiO4zRyRKwE9IwZFknnFAUNEcc/Chvo/RhYHLixAY7hOE5jYehQi1Y691wLp3YKTk4M\nv6q+oKpbhc+fquoQVe2jqjupag4CnB3HadScdx789JO1/p2C45m7juM0PKuuCnvsYRPFR3NpnILg\nht9xnPwwZoyFip5xRqE1afK44XccJz/07m2JYePHe0mIAuOG33Gc/HHyydC2rf11CoYbfsdx8keX\nLnD88TBhArz+eqG1abK44XccJ78ccwwstZTNKewzfhUEN/yO4+SXdu3g9NPh5ZfhsccKrU2TxA2/\n4zj554ADoE8fGD26poqukzfc8DuOk3+aN4dzzrGJ6m+7rdDaNDnc8DuOUxh23NFmMDvtNJv32skb\nbvgdxykMZWU249cXX8BVVxVam8Jw+eVWtTTPuOF3HKdwbLwxbLqpuX1+/rnQ2uQPVTjxRDjqKJt1\nLc+44Xccp7Ccfz788ANceGGhNckPCxfCYYfZeR98MFx0Ud5VcMPvOE5hGTTIJpi/5JLczF1czMyb\nB3vvDVdfDSecYC6uAkxJ6YbfcZzCc/bZNs3jmDGF1qThmDPHBrRvv93KVF9wgU1UUwDc8DuOU3iW\nW87cHjfcAB9+WGhtcs9vv8Hw4fDQQzYT2ejRBVXHDb/jOMXBKafYnLylVsDthx9gk03gxRfh1lut\nQmmBccPvOE5xsOSScNxxcP/98OabhdYmN8yaZVNPTp5s57XnnoXWCHDD7zhOMXHssfYCKIUCbtOn\nw3rrwaefWk2ibbYptEZ/44bfcZzioX17OPVUc4s88UShtcmcDz6AddeF2bPhmWcsX6GIcMPvOE5x\nceCBNtg7erTFvDc2Jk+G9de30M0XX4Q11yy0Rv/ADb/jOMVFixYW3vnOO3DHHYXWJj1eecV8+q1b\nW9npgQMLrVGtuOF3HKf42GUXS+w65RSYO7fQ2sTjySet/MTSS9sLoG/fQmtUJ274HccpPsrKLMFp\n+vSC1LJJm/vvh623hn79rKW/zDKF1qhe3PA7jlOcDBtmg6JnnVXcBdxuugl23hlWXx2ef96ikooc\nN/yO4xQv558P338PY8cWWpPauewy2HdfS9B66ino2LHQGsUiY8MvIsuIyPMiMlVEpojIUWF9ZxF5\nWkSmhb+dcqeu4zhNispK8/f/5z+WDFUsqFpdoaOPhu23t1IMbdsWWqvYiGaYJCEiXYGuqvqWiLQH\nJgHbAvsAP6jq+SIyGuikqqPqk1VZWanV1dUZ6eE4Tonz8cfQvz8MHmx/i4HvvrOkrJEjrb5Qs2YF\nUUNEJqlqZbr7Zaytqs4EZobPv4rIVKA7sA0wNHztZuAFoF7D7ziOUyd9+lg1y3Hj4JtvCq1NDaNH\n2wQyZY3PY55xi38RISK9gJeAAcAXqtoxsu1HVa3X3eMtfsdxnPTJtMWf9atKRNoB9wNHq+ovaex3\noIhUi0j1d999l60ajuM4TkyyMvwi0hwz+reralVY/U3w/yfGAb6tbV9VvU5VK1W1skuXLtmo4TiO\n46RBNlE9AtwITFXV/0Q2PQSMDJ9HAg9mrp7jOI6Ta7IZil4H2At4V0TeDutOAs4H7hGR/YEvgJ2y\nU9FxHMfJJdlE9bwC1DVhZHHVIHUcx3H+pvHFITmO4zhZ4YbfcRynieGG33Ecp4mRkwSurJUQ+Q6Y\nnuHuSwCzc6CGy3E5hZZTTLq4nMYhZ1lVTTsevigMfzaISHUmmWsux+UUm5xi0sXlND456eCuHsdx\nnCaGG37HcZwmRikY/utcjsspETnFpIvLaXxyYtPoffyO4zhOepRCi98pUkI9J8dxigw3/Fnghq1+\nNMfdSREpK7VrnqvzKcVr4zQcbvizIGHYiuVHJyIdc6GHiLTMVo6IDBaRJWpZX56BrM4iUqaqC6PX\nPAM5PTLZL7L/TiKySqbHj8gREVlFRMqjL8cMr02nWq5NWvdORHqKSIt0j12HLi0y0aEemQX/XUUJ\n967gOmX7G21Shl9EmonIuDCPQGJd2g98kHOXiGwGEP3Rhe2xb4iItK3NiKQpo0xEjgFODUum51Um\nIocFGfeJyDUiskEGcpoB5wFtI+tWAFDVBWnIKReRU4ExwCQReVBEtghyFqYpZwxwBvDf8P9icfcP\nMpoBFwIHiEiHdI6frAs2mHc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Vv01Tn3Wwl/RcVX0ci4CJ/QxibkGwpL9BEfkzgMNU9YsY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db786f7780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y1 = df_ravenna['wind_speed']*20\n",
    "y2 = df_ravenna['humidity']\n",
    "x = df_ravenna['day']\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "#hours = mdates.DateFormatter('%H:%M')\n",
    "#ax.xaxis.set_major_formatter(hours)\n",
    "plt.plot(x,y1,'r',x,y2,'b')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7a1ca0b8>]"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VdtiZCvdoq8wtObYPSDovqZ03nZW0GBHXS/pdSR+x/epp1bdFv35Q6X0s6R3aPAip1D62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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7a038898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_ravenna['wind_deg'],df_ravenna['wind_speed'],'ro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1db7a223e80>]"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7872e9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(211)\n",
    "plt.plot(df_cesena['wind_deg'],df_cesena['humidity'],'bo')\n",
    "plt.subplot(212)\n",
    "plt.plot(df_cesena['wind_deg'],df_cesena['wind_speed'],'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>159.5000</td>\n",
       "      <td>2.01</td>\n",
       "      <td>2015-06-27 09:42:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.0000</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2015-06-27 10:37:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>80.0000</td>\n",
       "      <td>4.60</td>\n",
       "      <td>2015-06-27 11:57:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>90.0000</td>\n",
       "      <td>4.60</td>\n",
       "      <td>2015-06-27 12:53:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80.0000</td>\n",
       "      <td>6.20</td>\n",
       "      <td>2015-06-27 13:54:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>80.0000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>2015-06-27 14:55:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>90.0000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>2015-06-27 16:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>90.0000</td>\n",
       "      <td>5.70</td>\n",
       "      <td>2015-06-27 17:55:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>90.0000</td>\n",
       "      <td>4.60</td>\n",
       "      <td>2015-06-27 18:58:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>97.0000</td>\n",
       "      <td>2.06</td>\n",
       "      <td>2015-06-27 19:58:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>89.0000</td>\n",
       "      <td>2.06</td>\n",
       "      <td>2015-06-27 22:52:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>88.0147</td>\n",
       "      <td>2.86</td>\n",
       "      <td>2015-06-27 23:57:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>107.0040</td>\n",
       "      <td>2.01</td>\n",
       "      <td>2015-06-28 00:57:46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>107.0040</td>\n",
       "      <td>2.01</td>\n",
       "      <td>2015-06-28 03:00:34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>132.5030</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2015-06-28 03:54:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>132.5030</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2015-06-28 04:54:04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>132.5030</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2015-06-28 05:58:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>251.0000</td>\n",
       "      <td>1.54</td>\n",
       "      <td>2015-06-28 06:52:59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    wind_deg  wind_speed                  day\n",
       "0   159.5000        2.01  2015-06-27 09:42:05\n",
       "1   100.0000        2.10  2015-06-27 10:37:24\n",
       "2    80.0000        4.60  2015-06-27 11:57:01\n",
       "3    90.0000        4.60  2015-06-27 12:53:43\n",
       "4    80.0000        6.20  2015-06-27 13:54:20\n",
       "5    80.0000        6.70  2015-06-27 14:55:06\n",
       "6    90.0000        6.70  2015-06-27 16:55:00\n",
       "7    90.0000        5.70  2015-06-27 17:55:43\n",
       "8    90.0000        4.60  2015-06-27 18:58:17\n",
       "9    97.0000        2.06  2015-06-27 19:58:58\n",
       "10   89.0000        2.06  2015-06-27 22:52:39\n",
       "11   88.0147        2.86  2015-06-27 23:57:25\n",
       "12  107.0040        2.01  2015-06-28 00:57:46\n",
       "13  107.0040        2.01  2015-06-28 03:00:34\n",
       "14  132.5030        1.06  2015-06-28 03:54:49\n",
       "15  132.5030        1.06  2015-06-28 04:54:04\n",
       "16  132.5030        1.06  2015-06-28 05:58:15\n",
       "17  251.0000        1.54  2015-06-28 06:52:59"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ravenna[['wind_deg','wind_speed','day']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>175.511</td>\n",
       "      <td>1.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>159.500</td>\n",
       "      <td>2.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.000</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>120.000</td>\n",
       "      <td>3.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>110.000</td>\n",
       "      <td>3.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>110.000</td>\n",
       "      <td>3.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>110.000</td>\n",
       "      <td>5.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>110.000</td>\n",
       "      <td>5.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>120.000</td>\n",
       "      <td>6.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>120.000</td>\n",
       "      <td>6.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>120.000</td>\n",
       "      <td>6.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>90.000</td>\n",
       "      <td>2.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>90.000</td>\n",
       "      <td>5.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>210.000</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>107.004</td>\n",
       "      <td>2.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>330.000</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>320.000</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>300.000</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>270.000</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>260.000</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    wind_deg  wind_speed\n",
       "0    175.511        1.91\n",
       "1    159.500        2.01\n",
       "2    100.000        2.10\n",
       "3    120.000        3.10\n",
       "4    110.000        3.10\n",
       "5    110.000        3.60\n",
       "6    110.000        5.70\n",
       "7    110.000        5.10\n",
       "8    120.000        6.20\n",
       "9    120.000        6.70\n",
       "10   120.000        6.20\n",
       "11    90.000        2.60\n",
       "12    90.000        5.70\n",
       "13   210.000        2.10\n",
       "14   107.004        2.01\n",
       "15   330.000        2.10\n",
       "16   320.000        1.50\n",
       "17   300.000        0.50\n",
       "18   270.000        0.50\n",
       "19   260.000        2.10"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cesena[['wind_deg','wind_speed']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  5 11  1  0  1  0  0]\n",
      "[   0.   45.   90.  135.  180.  225.  270.  315.  360.]\n"
     ]
    }
   ],
   "source": [
    "hist, bins = np.histogram(df_ravenna['wind_deg'],8,[0,360])\n",
    "print(hist)\n",
    "print(bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def showRoseWind(values,city_name,max_value):\n",
    "   N = 8\n",
    "   theta = np.arange(0.,2 * np.pi, 2 * np.pi / N)\n",
    "   radii = np.array(values)\n",
    "   plt.axes([0.025, 0.025, 0.95, 0.95], polar=True)\n",
    "   colors = [(1-x/max_value, 1-x/max_value, 0.75) for x in radii]\n",
    "   plt.bar(theta+np.pi/8, radii, width=(2*np.pi/N), bottom=0.0, color=colors)\n",
    "   plt.title(city_name,x=0.2, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  5 11  1  0  1  0  0]\n"
     ]
    },
    {
     "data": {
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77bW6zZs3R2u12lHd63Zz2LGjDb/9bS2Ki3sFXun4UasZdDoOGg2H2FiGuDiG2FgOkZFA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7ca2c2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist, bin = np.histogram(df_ravenna['wind_deg'],8,[0,360])\n",
    "print(hist)\n",
    "showRoseWind(hist,'Ravenna', max(hist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4 3 0 4 0 2 5 2]\n"
     ]
    },
    {
     "data": {
      "image/png": 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EV1dXWQnnyMgIfv/732NwcARSqQIyWf6FMUZG7OA4sdtrMchkFm3fvh0Mw2Df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\npJWEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7a2d6cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist, bin = np.histogram(df_piacenza['wind_deg'],8,[0,360])\n",
    "print(hist)\n",
    "showRoseWind(hist,'Piacenza', 15.0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15    2.6\n",
      "16    2.6\n",
      "17    0.5\n",
      "Name: wind_speed, dtype: float64\n",
      "1.9000000000000001\n"
     ]
    }
   ],
   "source": [
    "print(df_milano[df_milano['wind_deg']<45]['wind_speed'])\n",
    "print(df_milano[df_milano['wind_deg']<45]['wind_speed'].mean())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.6\n",
      "2.6\n",
      "3.5999999999999996\n",
      "2.35\n",
      "2.25\n",
      "2.35\n",
      "2.05\n",
      "nan\n"
     ]
    }
   ],
   "source": [
    "#print(df_milano[df_milano['wind_deg']<45]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>0) & (df_milano['wind_deg']<45)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>44) & (df_milano['wind_deg']<90)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>89) & (df_milano['wind_deg']<135)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>134) & (df_milano['wind_deg']<180)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>179) & (df_milano['wind_deg']<225)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>224) & (df_milano['wind_deg']<270)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>269) & (df_milano['wind_deg']<315)]['wind_speed'].mean())\n",
    "print(df_milano[(df_milano['wind_deg']>314) & (df_milano['wind_deg']<360)]['wind_speed'].mean())\n",
    "#print(df_milano[df_milano['wind_deg']>314]['wind_speed'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 45  90 135 180 225 270 315 360]\n"
     ]
    }
   ],
   "source": [
    "degs = np.arange(45,361,45)\n",
    "print(degs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1.9   2.6   3.6   2.35  2.25  2.35  2.05   nan]\n",
      "[ 1.9   2.6   3.6   2.35  2.25  2.35  2.05  0.  ]\n"
     ]
    }
   ],
   "source": [
    "tmp =  []\n",
    "for deg in degs:\n",
    "    #print df_milano[(df_milano['wind_deg']>(deg-46)) & (df_milano['wind_deg']<deg)]['wind_speed'].mean()\n",
    "    tmp.append(df_milano[(df_milano['wind_deg']>(deg-46)) & (df_milano['wind_deg']<deg)]['wind_speed'].mean())\n",
    "speeds = np.array(tmp)\n",
    "print(speeds)\n",
    "speeds = np.nan_to_num(speeds)\n",
    "print(speeds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.2,1.05,'Milano')"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZbAZhiOYIbDbbDatXr/7lnj17vJPtcg4NDeHDDz/CwIBSi62WRHKcY9ZKDtU0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VDOEksGWZbp6OgoPXbsGD148CDt6+ujsViM6rp+V/ZzN0hT13Uai8VoX18fPXjwID127BgdHR2l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\nIYRIwf8AWv0FbvccKv8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b52bf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "N = 8\n",
    "theta = np.arange(0,2 * np.pi, 2 * np.pi / N)\n",
    "radii = np.array(speeds)\n",
    "plt.axes([0.025, 0.025, 0.95, 0.95], polar=True)\n",
    "colors = [(1-x/10.0, 1-x/10.0, 0.75) for x in radii]\n",
    "bars = plt.bar(theta+np.pi/8, radii, width=(2*np.pi/N), bottom=0.0, color=colors)\n",
    "plt.title('Milano',x=0.2, fontsize=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def RoseWind_Speed(df_city):\n",
    "   degs = np.arange(45,361,45)\n",
    "   tmp =  []\n",
    "   for deg in degs:\n",
    "      tmp.append(df_city[(df_city['wind_deg']>(deg-46)) & (df_city['wind_deg']<deg)]['wind_speed'].mean())\n",
    "   return np.nan_to_num(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def showRoseWind_Speed(speeds,city_name):\n",
    "    N = 8\n",
    "    theta = np.arange(0,2 * np.pi, 2 * np.pi / N)\n",
    "    radii = np.array(speeds)\n",
    "    plt.axes([0.025, 0.025, 0.95, 0.95], polar=True)\n",
    "    colors = [(1-x/10.0, 1-x/10.0, 0.75) for x in radii]\n",
    "    bars = plt.bar(theta+np.pi/8, radii, width=(2*np.pi/N), bottom=0.0, color=colors)\n",
    "    plt.title(city_name,x=0.2, fontsize=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZbAZhiOYIbDbbDatXr/7lnj17vJPtcg4NDeHDDz/CwIBSi62WRHKcY9ZKDtU0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VDOEksGWZbp6OgoPXbsGD148CDt6+ujsViM6rp+V/ZzN0hT13Uai8VoX18fPXjwID127BgdHR2l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\nIYRIwf8AWv0FbvccKv8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7c99aa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_milano),'Milano')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4kM1eWsdmI5gFbrnlFr6trW3l97///X8BsHNGjcwhLuvVc4/H89F169Z9fffu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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7c9a7be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_ravenna),'Ravenna')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xZs2ay9WSeApmlrfffpvdeeed5/r6+uoYY0r0qObKnBLN4TJvLz/22GM3PvDA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\nIA4E0RQQEBCIg/8POQuUYxn0HpAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b79f908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_faenza),'Faenza')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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s6d2mY2bhZHA6IxDFZLKNxSKYRAx6fQIGQ/LFcQmIIoHnNeB5LQRBA57XQBA0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\nTjLeJrg5pQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b7c9358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_cesena),'Cesena')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RUghmsqBSqVBUVIRt27aBYRjU1dWhra1tnveRPITuSZVKJcv9WVxcjDfeeMOa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\nR02iGnh1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b844048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_ferrara),'Ferrara')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OOSWYcw2z2QiPx4GqKhtSqSwikRQEYcr6vqNgjOHMmZM4dGjflGvSM8Fms2H5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\nLjZzRQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b897860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_torino),'Torino')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1x3xDKYXX64bT6YTbzd48HnfGFuN8Fk2OiW27H9EzgOZ2TQwANzjhLCgwYc2a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\nlQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1db7b85de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind_Speed(RoseWind_Speed(df_mantova),'Mantova')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_ferrara.to_csv('ferrara.csv')\n",
    "df_milano.to_csv('milano.csv')\n",
    "df_mantova.to_csv('mantova.csv')\n",
    "df_ravenna.to_csv('ravenna.csv')\n",
    "df_torino.to_csv('torino.csv')\n",
    "df_asti.to_csv('asti.csv')\n",
    "df_bologna.to_csv('bologna.csv')\n",
    "df_piacenza.to_csv('piacenza.csv')\n",
    "df_cesena.to_csv('cesena.csv')\n",
    "df_faenza.to_csv('faenza.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
